The Opportunity:
This is a supporting role of the R&D team at GEMESYS working on applications of our brain-like chip. You are reporting to our AI engineers.
You will be working with our experts in low-power and edge AI applications who develop new AI solutions for various industries such as healthcare, space, energy, and robotics.
Your Role:
You are responsible for supporting our AI engineers with the design, development, and implementation of advanced machine learning algorithms and models for low-power and edge devices. You work closely with the R&D team and will support the establishment of novel business cases related to the AI applications executable on our hardware.
- Collaborate with software and hardware engineers to implement and test AI models on low-power and edge devices.
- Evaluate and compare the performance of different AI models in low-power and edge environments.
- Work with data scientists and domain experts to develop AI solutions for various industries.
- Maintain an overview of new AI models and algorithms for low-power and edge devices. This includes evaluating their potential application on the in-house AI chip.
- Stay up to date with industry trends, technologies, and best practices related to AI technology.
- Create technical reports and present research findings to the team.
- Prepare and participate in reviews and presentations of reports related to AI applications and solutions with the in-house AI platform.
What you bring:
Essential:
- Currently pursuing a degree in computer science, electrical engineering, or a related field.
- Experience with machine learning frameworks such as Tensorflow, PyTorch, or Keras.
- Proficiency in the Python programming language.
- Adaptability and willingness to learn new approaches, solutions, and skills.
- Self-motivated, creative, hard-working individual with an entrepreneurial mindset.
- Analytical mindset with the ability to problem solve, work as a team and drive solutions.
- Ability to report and present in English.
- Flexibility and willingness to work in an agile deep-tech start-up.
Preferred:
- Experience in designing and implementing custom AI solutions for embedded systems.
- Broad overview of machine learning algorithms and models.
- Knowledge of software development best practices such as agile methodologies, version control (Git), and code reviews.